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<li class="chapter" data-level="1" data-path="data-read-write-description.html"><a href="data-read-write-description.html"><i class="fa fa-check"></i><b>1</b> 数据导入导出</a>
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<li class="chapter" data-level="1.1.3" data-path="readxl-description.html"><a href="readxl-description.html#batch:read"><i class="fa fa-check"></i><b>1.1.3</b> 批量读取</a></li>
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<li class="chapter" data-level="1.2.1" data-path="writexl.html"><a href="writexl.html#writexl:usage"><i class="fa fa-check"></i><b>1.2.1</b> 用法</a></li>
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<li class="chapter" data-level="1.3" data-path="openxlsx-description.html"><a href="openxlsx-description.html"><i class="fa fa-check"></i><b>1.3</b> openxlsx</a>
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<li class="chapter" data-level="1.3.1" data-path="openxlsx-description.html"><a href="openxlsx-description.html#openxlsx:install"><i class="fa fa-check"></i><b>1.3.1</b> 安装</a></li>
<li class="chapter" data-level="1.3.2" data-path="openxlsx-description.html"><a href="openxlsx-description.html#openxlsx:functions"><i class="fa fa-check"></i><b>1.3.2</b> 基础功能</a></li>
<li class="chapter" data-level="1.3.3" data-path="openxlsx-description.html"><a href="openxlsx-description.html#定制格式输出"><i class="fa fa-check"></i><b>1.3.3</b> 定制格式输出</a></li>
<li class="chapter" data-level="1.3.4" data-path="openxlsx-description.html"><a href="openxlsx-description.html#函数参数"><i class="fa fa-check"></i><b>1.3.4</b> 函数参数</a></li>
<li class="chapter" data-level="1.3.5" data-path="openxlsx-description.html"><a href="openxlsx-description.html#总结"><i class="fa fa-check"></i><b>1.3.5</b> 总结</a></li>
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<li class="chapter" data-level="1.4" data-path="readr-package.html"><a href="readr-package.html"><i class="fa fa-check"></i><b>1.4</b> readr</a>
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<li class="chapter" data-level="1.4.1" data-path="readr-package.html"><a href="readr-package.html#readr:install"><i class="fa fa-check"></i><b>1.4.1</b> 安装</a></li>
<li class="chapter" data-level="1.4.2" data-path="readr-package.html"><a href="readr-package.html#readr:usage"><i class="fa fa-check"></i><b>1.4.2</b> 用法</a></li>
<li class="chapter" data-level="1.4.3" data-path="readr-package.html"><a href="readr-package.html#readr:write-function"><i class="fa fa-check"></i><b>1.4.3</b> 导出功能</a></li>
<li class="chapter" data-level="1.4.4" data-path="readr-package.html"><a href="readr-package.html#总结-1"><i class="fa fa-check"></i><b>1.4.4</b> 总结</a></li>
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<li class="chapter" data-level="1.5" data-path="data-vroom.html"><a href="data-vroom.html"><i class="fa fa-check"></i><b>1.5</b> vroom</a>
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<li class="chapter" data-level="1.5.1" data-path="data-vroom.html"><a href="data-vroom.html#安装"><i class="fa fa-check"></i><b>1.5.1</b> 安装</a></li>
<li class="chapter" data-level="1.5.2" data-path="data-vroom.html"><a href="data-vroom.html#用法"><i class="fa fa-check"></i><b>1.5.2</b> 用法</a></li>
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<li class="chapter" data-level="1.6" data-path="data-rstudio-addins.html"><a href="data-rstudio-addins.html"><i class="fa fa-check"></i><b>1.6</b> Rstudio导入</a>
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<li class="chapter" data-level="1.6.1" data-path="data-rstudio-addins.html"><a href="data-rstudio-addins.html#rstudio-工具栏导入"><i class="fa fa-check"></i><b>1.6.1</b> rstudio 工具栏导入</a></li>
<li class="chapter" data-level="1.6.2" data-path="data-rstudio-addins.html"><a href="data-rstudio-addins.html#插件导入"><i class="fa fa-check"></i><b>1.6.2</b> 插件导入</a></li>
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<li class="chapter" data-level="1.7" data-path="data-file-path.html"><a href="data-file-path.html"><i class="fa fa-check"></i><b>1.7</b> 文件路径</a>
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<li class="chapter" data-level="1.7.1" data-path="data-file-path.html"><a href="data-file-path.html#指定路径"><i class="fa fa-check"></i><b>1.7.1</b> 指定路径</a></li>
<li class="chapter" data-level="1.7.2" data-path="data-file-path.html"><a href="data-file-path.html#默认路径"><i class="fa fa-check"></i><b>1.7.2</b> 默认路径</a></li>
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<li class="chapter" data-level="1.8" data-path="data-expand.html"><a href="data-expand.html"><i class="fa fa-check"></i><b>1.8</b> 拓展</a>
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<li class="chapter" data-level="1.8.1" data-path="data-expand.html"><a href="data-expand.html#tidyxl:package"><i class="fa fa-check"></i><b>1.8.1</b> tidyxl</a></li>
<li class="chapter" data-level="1.8.2" data-path="data-expand.html"><a href="data-expand.html#参考资料"><i class="fa fa-check"></i><b>1.8.2</b> 参考资料</a></li>
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<li class="chapter" data-level="2" data-path="Data-Manipulation-dplyr.html"><a href="Data-Manipulation-dplyr.html"><i class="fa fa-check"></i><b>2</b> 数据处理之-dplyr</a>
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<li class="chapter" data-level="2.1" data-path="dplyr-description.html"><a href="dplyr-description.html"><i class="fa fa-check"></i><b>2.1</b> 前言</a>
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<li class="chapter" data-level="2.1.1" data-path="dplyr-description.html"><a href="dplyr-description.html#dplyr:install-package"><i class="fa fa-check"></i><b>2.1.1</b> 安装</a></li>
<li class="chapter" data-level="2.1.2" data-path="dplyr-description.html"><a href="dplyr-description.html#dplyr:difference-of-sql"><i class="fa fa-check"></i><b>2.1.2</b> Excel and Sql 类比</a></li>
<li class="chapter" data-level="2.1.3" data-path="dplyr-description.html"><a href="dplyr-description.html#常见问题"><i class="fa fa-check"></i><b>2.1.3</b> 常见问题</a></li>
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<li class="chapter" data-level="2.2" data-path="dplyr-usage.html"><a href="dplyr-usage.html"><i class="fa fa-check"></i><b>2.2</b> 基础用法</a>
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<li class="chapter" data-level="2.2.1" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-filter"><i class="fa fa-check"></i><b>2.2.1</b> filter</a></li>
<li class="chapter" data-level="2.2.2" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-select"><i class="fa fa-check"></i><b>2.2.2</b> select</a></li>
<li class="chapter" data-level="2.2.3" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-rename"><i class="fa fa-check"></i><b>2.2.3</b> rename</a></li>
<li class="chapter" data-level="2.2.4" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-relocate"><i class="fa fa-check"></i><b>2.2.4</b> relocate</a></li>
<li class="chapter" data-level="2.2.5" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-mutate"><i class="fa fa-check"></i><b>2.2.5</b> mutate</a></li>
<li class="chapter" data-level="2.2.6" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-arrange"><i class="fa fa-check"></i><b>2.2.6</b> arrange</a></li>
<li class="chapter" data-level="2.2.7" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-summarise"><i class="fa fa-check"></i><b>2.2.7</b> summarise</a></li>
<li class="chapter" data-level="2.2.8" data-path="dplyr-usage.html"><a href="dplyr-usage.html#dplyr-groupby"><i class="fa fa-check"></i><b>2.2.8</b> group_by</a></li>
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<li class="chapter" data-level="2.3" data-path="dplyr-functions.html"><a href="dplyr-functions.html"><i class="fa fa-check"></i><b>2.3</b> 常用函数</a>
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<li class="chapter" data-level="2.3.1" data-path="dplyr-functions.html"><a href="dplyr-functions.html#条件判断"><i class="fa fa-check"></i><b>2.3.1</b> 条件判断</a></li>
<li class="chapter" data-level="2.3.2" data-path="dplyr-functions.html"><a href="dplyr-functions.html#case_when"><i class="fa fa-check"></i><b>2.3.2</b> case_when</a></li>
<li class="chapter" data-level="2.3.3" data-path="dplyr-functions.html"><a href="dplyr-functions.html#计数函数"><i class="fa fa-check"></i><b>2.3.3</b> 计数函数</a></li>
<li class="chapter" data-level="2.3.4" data-path="dplyr-functions.html"><a href="dplyr-functions.html#排序函数"><i class="fa fa-check"></i><b>2.3.4</b> 排序函数</a></li>
<li class="chapter" data-level="2.3.5" data-path="dplyr-functions.html"><a href="dplyr-functions.html#提取向量"><i class="fa fa-check"></i><b>2.3.5</b> 提取向量</a></li>
<li class="chapter" data-level="2.3.6" data-path="dplyr-functions.html"><a href="dplyr-functions.html#dplyr:slice"><i class="fa fa-check"></i><b>2.3.6</b> slice 系列</a></li>
<li class="chapter" data-level="2.3.7" data-path="dplyr-functions.html"><a href="dplyr-functions.html#group-系列"><i class="fa fa-check"></i><b>2.3.7</b> group 系列</a></li>
<li class="chapter" data-level="2.3.8" data-path="dplyr-functions.html"><a href="dplyr-functions.html#其它函数"><i class="fa fa-check"></i><b>2.3.8</b> 其它函数</a></li>
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<li class="chapter" data-level="2.4" data-path="dplyr-merge-two-table.html"><a href="dplyr-merge-two-table.html"><i class="fa fa-check"></i><b>2.4</b> 表关联</a>
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<li class="chapter" data-level="2.4.1" data-path="dplyr-merge-two-table.html"><a href="dplyr-merge-two-table.html#dplyr:merge-table-usage"><i class="fa fa-check"></i><b>2.4.1</b> 两表关联</a></li>
<li class="chapter" data-level="2.4.2" data-path="dplyr-merge-two-table.html"><a href="dplyr-merge-two-table.html#dplyr:merge-multiple-table"><i class="fa fa-check"></i><b>2.4.2</b> 多表操作</a></li>
</ul></li>
<li class="chapter" data-level="2.5" data-path="dplyr-groupby-manipulation.html"><a href="dplyr-groupby-manipulation.html"><i class="fa fa-check"></i><b>2.5</b> 分组操作</a>
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<li class="chapter" data-level="2.5.1" data-path="dplyr-groupby-manipulation.html"><a href="dplyr-groupby-manipulation.html#添加分组"><i class="fa fa-check"></i><b>2.5.1</b> 添加分组</a></li>
<li class="chapter" data-level="2.5.2" data-path="dplyr-groupby-manipulation.html"><a href="dplyr-groupby-manipulation.html#查看分组"><i class="fa fa-check"></i><b>2.5.2</b> 查看分组</a></li>
<li class="chapter" data-level="2.5.3" data-path="dplyr-groupby-manipulation.html"><a href="dplyr-groupby-manipulation.html#更改和添加分组变量"><i class="fa fa-check"></i><b>2.5.3</b> 更改和添加分组变量</a></li>
<li class="chapter" data-level="2.5.4" data-path="dplyr-groupby-manipulation.html"><a href="dplyr-groupby-manipulation.html#删除分组变量"><i class="fa fa-check"></i><b>2.5.4</b> 删除分组变量</a></li>
<li class="chapter" data-level="2.5.5" data-path="dplyr-groupby-manipulation.html"><a href="dplyr-groupby-manipulation.html#动词影响"><i class="fa fa-check"></i><b>2.5.5</b> 动词影响</a></li>
</ul></li>
<li class="chapter" data-level="2.6" data-path="dplyr-column-manipulation.html"><a href="dplyr-column-manipulation.html"><i class="fa fa-check"></i><b>2.6</b> 列操作</a>
<ul>
<li class="chapter" data-level="2.6.1" data-path="dplyr-column-manipulation.html"><a href="dplyr-column-manipulation.html#dplyr-column-manipulation-basic-usage"><i class="fa fa-check"></i><b>2.6.1</b> 基础用法</a></li>
<li class="chapter" data-level="2.6.2" data-path="dplyr-column-manipulation.html"><a href="dplyr-column-manipulation.html#多种函数功能"><i class="fa fa-check"></i><b>2.6.2</b> 多种函数功能</a></li>
<li class="chapter" data-level="2.6.3" data-path="dplyr-column-manipulation.html"><a href="dplyr-column-manipulation.html#当前列"><i class="fa fa-check"></i><b>2.6.3</b> 当前列</a></li>
</ul></li>
<li class="chapter" data-level="2.7" data-path="dplyr-row-manipulation.html"><a href="dplyr-row-manipulation.html"><i class="fa fa-check"></i><b>2.7</b> 行操作</a>
<ul>
<li class="chapter" data-level="2.7.1" data-path="dplyr-row-manipulation.html"><a href="dplyr-row-manipulation.html#比较差异"><i class="fa fa-check"></i><b>2.7.1</b> 比较差异</a></li>
<li class="chapter" data-level="2.7.2" data-path="dplyr-row-manipulation.html"><a href="dplyr-row-manipulation.html#常用案例"><i class="fa fa-check"></i><b>2.7.2</b> 常用案例</a></li>
</ul></li>
<li class="chapter" data-level="2.8" data-path="dplyr-programming.html"><a href="dplyr-programming.html"><i class="fa fa-check"></i><b>2.8</b> <code>dplyr</code>编程</a>
<ul>
<li class="chapter" data-level="2.8.1" data-path="dplyr-programming.html"><a href="dplyr-programming.html#案例"><i class="fa fa-check"></i><b>2.8.1</b> 案例</a></li>
</ul></li>
<li class="chapter" data-level="2.9" data-path="dplyr-reference-material.html"><a href="dplyr-reference-material.html"><i class="fa fa-check"></i><b>2.9</b> 参考资料</a></li>
</ul></li>
<li class="chapter" data-level="3" data-path="Data-tidyr-package.html"><a href="Data-tidyr-package.html"><i class="fa fa-check"></i><b>3</b> 整洁数据之 tidyr</a>
<ul>
<li class="chapter" data-level="3.1" data-path="tidyr-useage.html"><a href="tidyr-useage.html"><i class="fa fa-check"></i><b>3.1</b> tidyr 介绍</a>
<ul>
<li class="chapter" data-level="3.1.1" data-path="tidyr-useage.html"><a href="tidyr-useage.html#tidyr:install"><i class="fa fa-check"></i><b>3.1.1</b> 安装</a></li>
<li class="chapter" data-level="3.1.2" data-path="tidyr-useage.html"><a href="tidyr-useage.html#tidyr:functions"><i class="fa fa-check"></i><b>3.1.2</b> 主要功能</a></li>
</ul></li>
<li class="chapter" data-level="3.2" data-path="pivoting.html"><a href="pivoting.html"><i class="fa fa-check"></i><b>3.2</b> 长宽转换</a>
<ul>
<li class="chapter" data-level="3.2.1" data-path="pivoting.html"><a href="pivoting.html#宽转长"><i class="fa fa-check"></i><b>3.2.1</b> 宽转长</a></li>
<li class="chapter" data-level="3.2.2" data-path="pivoting.html"><a href="pivoting.html#用法-1"><i class="fa fa-check"></i><b>3.2.2</b> 用法</a></li>
<li class="chapter" data-level="3.2.3" data-path="pivoting.html"><a href="pivoting.html#长转宽"><i class="fa fa-check"></i><b>3.2.3</b> 长转宽</a></li>
<li class="chapter" data-level="3.2.4" data-path="pivoting.html"><a href="pivoting.html#用法-2"><i class="fa fa-check"></i><b>3.2.4</b> 用法</a></li>
</ul></li>
<li class="chapter" data-level="3.3" data-path="tidyr-rectangle.html"><a href="tidyr-rectangle.html"><i class="fa fa-check"></i><b>3.3</b> 矩形数据</a></li>
<li class="chapter" data-level="3.4" data-path="tidyr-nest-data.html"><a href="tidyr-nest-data.html"><i class="fa fa-check"></i><b>3.4</b> 嵌套数据</a>
<ul>
<li class="chapter" data-level="3.4.1" data-path="tidyr-nest-data.html"><a href="tidyr-nest-data.html#基础"><i class="fa fa-check"></i><b>3.4.1</b> 基础</a></li>
<li class="chapter" data-level="3.4.2" data-path="tidyr-nest-data.html"><a href="tidyr-nest-data.html#嵌套数据和模型"><i class="fa fa-check"></i><b>3.4.2</b> 嵌套数据和模型</a></li>
</ul></li>
<li class="chapter" data-level="3.5" data-path="character-vector.html"><a href="character-vector.html"><i class="fa fa-check"></i><b>3.5</b> 字符处理</a>
<ul>
<li class="chapter" data-level="3.5.1" data-path="character-vector.html"><a href="character-vector.html#新列提取"><i class="fa fa-check"></i><b>3.5.1</b> 新列提取</a></li>
<li class="chapter" data-level="3.5.2" data-path="character-vector.html"><a href="character-vector.html#拆分"><i class="fa fa-check"></i><b>3.5.2</b> 拆分</a></li>
<li class="chapter" data-level="3.5.3" data-path="character-vector.html"><a href="character-vector.html#列拆分行"><i class="fa fa-check"></i><b>3.5.3</b> 列拆分行</a></li>
<li class="chapter" data-level="3.5.4" data-path="character-vector.html"><a href="character-vector.html#合并多列"><i class="fa fa-check"></i><b>3.5.4</b> 合并多列</a></li>
</ul></li>
<li class="chapter" data-level="3.6" data-path="tidyr-expand.html"><a href="tidyr-expand.html"><i class="fa fa-check"></i><b>3.6</b> 扩展数据框</a></li>
<li class="chapter" data-level="3.7" data-path="tidyr-fill-NA.html"><a href="tidyr-fill-NA.html"><i class="fa fa-check"></i><b>3.7</b> 缺失值</a>
<ul>
<li class="chapter" data-level="3.7.1" data-path="tidyr-fill-NA.html"><a href="tidyr-fill-NA.html#replace_na"><i class="fa fa-check"></i><b>3.7.1</b> replace_na</a></li>
<li class="chapter" data-level="3.7.2" data-path="tidyr-fill-NA.html"><a href="tidyr-fill-NA.html#fill"><i class="fa fa-check"></i><b>3.7.2</b> fill</a></li>
<li class="chapter" data-level="3.7.3" data-path="tidyr-fill-NA.html"><a href="tidyr-fill-NA.html#drop_na"><i class="fa fa-check"></i><b>3.7.3</b> drop_na</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="4" data-path="character-handling.html"><a href="character-handling.html"><i class="fa fa-check"></i><b>4</b> 字符处理</a>
<ul>
<li class="chapter" data-level="4.1" data-path="character-base-R.html"><a href="character-base-R.html"><i class="fa fa-check"></i><b>4.1</b> base R</a>
<ul>
<li class="chapter" data-level="4.1.1" data-path="character-base-R.html"><a href="character-base-R.html#单双引号"><i class="fa fa-check"></i><b>4.1.1</b> 单双引号</a></li>
<li class="chapter" data-level="4.1.2" data-path="character-base-R.html"><a href="character-base-R.html#转义"><i class="fa fa-check"></i><b>4.1.2</b> 转义</a></li>
<li class="chapter" data-level="4.1.3" data-path="character-base-R.html"><a href="character-base-R.html#常用函数"><i class="fa fa-check"></i><b>4.1.3</b> 常用函数</a></li>
<li class="chapter" data-level="4.1.4" data-path="character-base-R.html"><a href="character-base-R.html#newfeatures"><i class="fa fa-check"></i><b>4.1.4</b> 新特性</a></li>
</ul></li>
<li class="chapter" data-level="4.2" data-path="character-stringr-packages.html"><a href="character-stringr-packages.html"><i class="fa fa-check"></i><b>4.2</b> stringr</a>
<ul>
<li class="chapter" data-level="4.2.1" data-path="character-stringr-packages.html"><a href="character-stringr-packages.html#stringr-install"><i class="fa fa-check"></i><b>4.2.1</b> 安装</a></li>
<li class="chapter" data-level="4.2.2" data-path="character-stringr-packages.html"><a href="character-stringr-packages.html#stringr-usage"><i class="fa fa-check"></i><b>4.2.2</b> 基本使用</a></li>
<li class="chapter" data-level="4.2.3" data-path="character-stringr-packages.html"><a href="character-stringr-packages.html#stringr-functions"><i class="fa fa-check"></i><b>4.2.3</b> 常用函数</a></li>
</ul></li>
<li class="chapter" data-level="4.3" data-path="character-application.html"><a href="character-application.html"><i class="fa fa-check"></i><b>4.3</b> 综合运用</a>
<ul>
<li class="chapter" data-level="4.3.1" data-path="character-application.html"><a href="character-application.html#实现excel函数"><i class="fa fa-check"></i><b>4.3.1</b> 实现excel函数</a></li>
<li class="chapter" data-level="4.3.2" data-path="character-application.html"><a href="character-application.html#使用案例"><i class="fa fa-check"></i><b>4.3.2</b> 使用案例</a></li>
</ul></li>
<li class="chapter" data-level="4.4" data-path="character-the-difference-stringr-and-base.html"><a href="character-the-difference-stringr-and-base.html"><i class="fa fa-check"></i><b>4.4</b> base 和 stringr</a></li>
<li class="chapter" data-level="4.5" data-path="character-reference-material.html"><a href="character-reference-material.html"><i class="fa fa-check"></i><b>4.5</b> 参考资料</a></li>
</ul></li>
<li class="chapter" data-level="5" data-path="datetime.html"><a href="datetime.html"><i class="fa fa-check"></i><b>5</b> 时间处理</a>
<ul>
<li class="chapter" data-level="5.1" data-path="datetime-base-R.html"><a href="datetime-base-R.html"><i class="fa fa-check"></i><b>5.1</b> base R</a>
<ul>
<li class="chapter" data-level="5.1.1" data-path="datetime-base-R.html"><a href="datetime-base-R.html#the-date-class"><i class="fa fa-check"></i><b>5.1.1</b> Date</a></li>
<li class="chapter" data-level="5.1.2" data-path="datetime-base-R.html"><a href="datetime-base-R.html#the-POSIXct-class"><i class="fa fa-check"></i><b>5.1.2</b> POSIXct</a></li>
<li class="chapter" data-level="5.1.3" data-path="datetime-base-R.html"><a href="datetime-base-R.html#the-POSIXlt-class"><i class="fa fa-check"></i><b>5.1.3</b> POSIXlt</a></li>
</ul></li>
<li class="chapter" data-level="5.2" data-path="lubridate.html"><a href="lubridate.html"><i class="fa fa-check"></i><b>5.2</b> lubridate</a>
<ul>
<li class="chapter" data-level="5.2.1" data-path="lubridate.html"><a href="lubridate.html#lubridate-install"><i class="fa fa-check"></i><b>5.2.1</b> 安装包</a></li>
<li class="chapter" data-level="5.2.2" data-path="lubridate.html"><a href="lubridate.html#get-current-datetime"><i class="fa fa-check"></i><b>5.2.2</b> 当前时间日期</a></li>
<li class="chapter" data-level="5.2.3" data-path="lubridate.html"><a href="lubridate.html#make-datetime"><i class="fa fa-check"></i><b>5.2.3</b> 构造日期时间</a></li>
<li class="chapter" data-level="5.2.4" data-path="lubridate.html"><a href="lubridate.html#parse-datetime"><i class="fa fa-check"></i><b>5.2.4</b> 解析日期时间</a></li>
<li class="chapter" data-level="5.2.5" data-path="lubridate.html"><a href="lubridate.html#extracting-datetime-information"><i class="fa fa-check"></i><b>5.2.5</b> 提取日期时间成分</a></li>
<li class="chapter" data-level="5.2.6" data-path="lubridate.html"><a href="lubridate.html#time-zones"><i class="fa fa-check"></i><b>5.2.6</b> 处理时区</a></li>
<li class="chapter" data-level="5.2.7" data-path="lubridate.html"><a href="lubridate.html#interveal"><i class="fa fa-check"></i><b>5.2.7</b> 时间间隔</a></li>
<li class="chapter" data-level="5.2.8" data-path="lubridate.html"><a href="lubridate.html#calculate-datetime"><i class="fa fa-check"></i><b>5.2.8</b> 时间日期计算</a></li>
</ul></li>
<li class="chapter" data-level="5.3" data-path="datetime-application.html"><a href="datetime-application.html"><i class="fa fa-check"></i><b>5.3</b> 综合运用</a>
<ul>
<li class="chapter" data-level="5.3.1" data-path="datetime-application.html"><a href="datetime-application.html#日报同环比计算"><i class="fa fa-check"></i><b>5.3.1</b> 日报同环比计算</a></li>
<li class="chapter" data-level="5.3.2" data-path="datetime-application.html"><a href="datetime-application.html#清洗不同类型日期格式"><i class="fa fa-check"></i><b>5.3.2</b> 清洗不同类型日期格式</a></li>
<li class="chapter" data-level="5.3.3" data-path="datetime-application.html"><a href="datetime-application.html#扫码后中奖时间匹配"><i class="fa fa-check"></i><b>5.3.3</b> 扫码后中奖时间匹配</a></li>
</ul></li>
<li class="chapter" data-level="5.4" data-path="datetime-additional-information.html"><a href="datetime-additional-information.html"><i class="fa fa-check"></i><b>5.4</b> 补充资料</a>
<ul>
<li class="chapter" data-level="5.4.1" data-path="datetime-additional-information.html"><a href="datetime-additional-information.html#excel-and-r"><i class="fa fa-check"></i><b>5.4.1</b> Excel and R</a></li>
<li class="chapter" data-level="5.4.2" data-path="datetime-additional-information.html"><a href="datetime-additional-information.html#参考资料-1"><i class="fa fa-check"></i><b>5.4.2</b> 参考资料</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="6" data-path="forcats.html"><a href="forcats.html"><i class="fa fa-check"></i><b>6</b> 因子介绍</a>
<ul>
<li class="chapter" data-level="6.1" data-path="forcats-introduction.html"><a href="forcats-introduction.html"><i class="fa fa-check"></i><b>6.1</b> 介绍</a>
<ul>
<li class="chapter" data-level="6.1.1" data-path="forcats-introduction.html"><a href="forcats-introduction.html#forcats:install"><i class="fa fa-check"></i><b>6.1.1</b> 安装</a></li>
</ul></li>
<li class="chapter" data-level="6.2" data-path="forcats-usage.html"><a href="forcats-usage.html"><i class="fa fa-check"></i><b>6.2</b> 用法</a>
<ul>
<li class="chapter" data-level="6.2.1" data-path="forcats-usage.html"><a href="forcats-usage.html#创建因子"><i class="fa fa-check"></i><b>6.2.1</b> 创建因子</a></li>
<li class="chapter" data-level="6.2.2" data-path="forcats-usage.html"><a href="forcats-usage.html#修改因子顺序"><i class="fa fa-check"></i><b>6.2.2</b> 修改因子顺序</a></li>
<li class="chapter" data-level="6.2.3" data-path="forcats-usage.html"><a href="forcats-usage.html#修改因子级别"><i class="fa fa-check"></i><b>6.2.3</b> 修改因子级别</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="7" data-path="Data-Manipulation-datatable.html"><a href="Data-Manipulation-datatable.html"><i class="fa fa-check"></i><b>7</b> data.table</a>
<ul>
<li class="chapter" data-level="7.1" data-path="datatable-description.html"><a href="datatable-description.html"><i class="fa fa-check"></i><b>7.1</b> 基础介绍</a>
<ul>
<li class="chapter" data-level="7.1.1" data-path="datatable-description.html"><a href="datatable-description.html#读取数据"><i class="fa fa-check"></i><b>7.1.1</b> 读取数据</a></li>
<li class="chapter" data-level="7.1.2" data-path="datatable-description.html"><a href="datatable-description.html#基本格式"><i class="fa fa-check"></i><b>7.1.2</b> 基本格式</a></li>
<li class="chapter" data-level="7.1.3" data-path="datatable-description.html"><a href="datatable-description.html#i-j-by-使用"><i class="fa fa-check"></i><b>7.1.3</b> i j by 使用</a></li>
<li class="chapter" data-level="7.1.4" data-path="datatable-description.html"><a href="datatable-description.html#行列筛选总结"><i class="fa fa-check"></i><b>7.1.4</b> 行列筛选总结</a></li>
</ul></li>
<li class="chapter" data-level="7.2" data-path="datatable-usage.html"><a href="datatable-usage.html"><i class="fa fa-check"></i><b>7.2</b> 常规操作</a>
<ul>
<li class="chapter" data-level="7.2.1" data-path="datatable-usage.html"><a href="datatable-usage.html#行筛选"><i class="fa fa-check"></i><b>7.2.1</b> 行筛选</a></li>
<li class="chapter" data-level="7.2.2" data-path="datatable-usage.html"><a href="datatable-usage.html#新增更新列"><i class="fa fa-check"></i><b>7.2.2</b> 新增更新列</a></li>
<li class="chapter" data-level="7.2.3" data-path="datatable-usage.html"><a href="datatable-usage.html#排序"><i class="fa fa-check"></i><b>7.2.3</b> 排序</a></li>
</ul></li>
<li class="chapter" data-level="7.3" data-path="datatable-function.html"><a href="datatable-function.html"><i class="fa fa-check"></i><b>7.3</b> 常用函数</a>
<ul>
<li class="chapter" data-level="7.3.1" data-path="datatable-function.html"><a href="datatable-function.html#特殊符号"><i class="fa fa-check"></i><b>7.3.1</b> 特殊符号</a></li>
<li class="chapter" data-level="7.3.2" data-path="datatable-function.html"><a href="datatable-function.html#排序函数-1"><i class="fa fa-check"></i><b>7.3.2</b> 排序函数</a></li>
<li class="chapter" data-level="7.3.3" data-path="datatable-function.html"><a href="datatable-function.html#非重复计数"><i class="fa fa-check"></i><b>7.3.3</b> 非重复计数</a></li>
<li class="chapter" data-level="7.3.4" data-path="datatable-function.html"><a href="datatable-function.html#判断函数"><i class="fa fa-check"></i><b>7.3.4</b> 判断函数</a></li>
<li class="chapter" data-level="7.3.5" data-path="datatable-function.html"><a href="datatable-function.html#交集-差集-合并"><i class="fa fa-check"></i><b>7.3.5</b> 交集 差集 合并</a></li>
<li class="chapter" data-level="7.3.6" data-path="datatable-function.html"><a href="datatable-function.html#长宽转换"><i class="fa fa-check"></i><b>7.3.6</b> 长宽转换</a></li>
<li class="chapter" data-level="7.3.7" data-path="datatable-function.html"><a href="datatable-function.html#表连接"><i class="fa fa-check"></i><b>7.3.7</b> 表连接</a></li>
</ul></li>
<li class="chapter" data-level="7.4" data-path="datatable-advanced-functions.html"><a href="datatable-advanced-functions.html"><i class="fa fa-check"></i><b>7.4</b> 高级函数</a>
<ul>
<li class="chapter" data-level="7.4.1" data-path="datatable-advanced-functions.html"><a href="datatable-advanced-functions.html#groupingsets"><i class="fa fa-check"></i><b>7.4.1</b> groupingsets</a></li>
<li class="chapter" data-level="7.4.2" data-path="datatable-advanced-functions.html"><a href="datatable-advanced-functions.html#rleid"><i class="fa fa-check"></i><b>7.4.2</b> rleid</a></li>
<li class="chapter" data-level="7.4.3" data-path="datatable-advanced-functions.html"><a href="datatable-advanced-functions.html#shift"><i class="fa fa-check"></i><b>7.4.3</b> shift</a></li>
<li class="chapter" data-level="7.4.4" data-path="datatable-advanced-functions.html"><a href="datatable-advanced-functions.html#j"><i class="fa fa-check"></i><b>7.4.4</b> J</a></li>
</ul></li>
<li class="chapter" data-level="7.5" data-path="datatable-tips.html"><a href="datatable-tips.html"><i class="fa fa-check"></i><b>7.5</b> 小技巧</a>
<ul>
<li class="chapter" data-level="7.5.1" data-path="datatable-tips.html"><a href="datatable-tips.html#用抑制中间过程输出"><i class="fa fa-check"></i><b>7.5.1</b> 用{}抑制中间过程输出</a></li>
<li class="chapter" data-level="7.5.2" data-path="datatable-tips.html"><a href="datatable-tips.html#使用打印data.table"><i class="fa fa-check"></i><b>7.5.2</b> 使用[]打印data.table</a></li>
</ul></li>
<li class="chapter" data-level="7.6" data-path="datatable-application.html"><a href="datatable-application.html"><i class="fa fa-check"></i><b>7.6</b> 运用</a>
<ul>
<li class="chapter" data-level="7.6.1" data-path="datatable-application.html"><a href="datatable-application.html#自定义函数计算"><i class="fa fa-check"></i><b>7.6.1</b> 自定义函数计算</a></li>
<li class="chapter" data-level="7.6.2" data-path="datatable-application.html"><a href="datatable-application.html#带汇总的聚合运算"><i class="fa fa-check"></i><b>7.6.2</b> 带汇总的聚合运算</a></li>
<li class="chapter" data-level="7.6.3" data-path="datatable-application.html"><a href="datatable-application.html#行列转变"><i class="fa fa-check"></i><b>7.6.3</b> 行列转变</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="8" data-path="database.html"><a href="database.html"><i class="fa fa-check"></i><b>8</b> database</a>
<ul>
<li class="chapter" data-level="8.1" data-path="database-install.html"><a href="database-install.html"><i class="fa fa-check"></i><b>8.1</b> 安装数据库</a></li>
<li class="chapter" data-level="8.2" data-path="database-odbc-package.html"><a href="database-odbc-package.html"><i class="fa fa-check"></i><b>8.2</b> odbc包</a>
<ul>
<li class="chapter" data-level="8.2.1" data-path="database-odbc-package.html"><a href="database-odbc-package.html#安装包"><i class="fa fa-check"></i><b>8.2.1</b> 安装包</a></li>
<li class="chapter" data-level="8.2.2" data-path="database-odbc-package.html"><a href="database-odbc-package.html#驱动安装"><i class="fa fa-check"></i><b>8.2.2</b> 驱动安装</a></li>
<li class="chapter" data-level="8.2.3" data-path="database-odbc-package.html"><a href="database-odbc-package.html#连接数据库"><i class="fa fa-check"></i><b>8.2.3</b> 连接数据库</a></li>
<li class="chapter" data-level="8.2.4" data-path="database-odbc-package.html"><a href="database-odbc-package.html#读写数据库"><i class="fa fa-check"></i><b>8.2.4</b> 读写数据库</a></li>
</ul></li>
<li class="chapter" data-level="8.3" data-path="database-DBI-package.html"><a href="database-DBI-package.html"><i class="fa fa-check"></i><b>8.3</b> DBI包</a>
<ul>
<li class="chapter" data-level="8.3.1" data-path="database-DBI-package.html"><a href="database-DBI-package.html#安装-1"><i class="fa fa-check"></i><b>8.3.1</b> 安装</a></li>
<li class="chapter" data-level="8.3.2" data-path="database-DBI-package.html"><a href="database-DBI-package.html#连接数据库-1"><i class="fa fa-check"></i><b>8.3.2</b> 连接数据库</a></li>
<li class="chapter" data-level="8.3.3" data-path="database-DBI-package.html"><a href="database-DBI-package.html#读写数据库-1"><i class="fa fa-check"></i><b>8.3.3</b> 读写数据库</a></li>
<li class="chapter" data-level="8.3.4" data-path="database-DBI-package.html"><a href="database-DBI-package.html#其它函数介绍"><i class="fa fa-check"></i><b>8.3.4</b> 其它函数介绍</a></li>
</ul></li>
<li class="chapter" data-level="8.4" data-path="database-else-package.html"><a href="database-else-package.html"><i class="fa fa-check"></i><b>8.4</b> 其他R包</a>
<ul>
<li class="chapter" data-level="8.4.1" data-path="database-else-package.html"><a href="database-else-package.html#rodbc包"><i class="fa fa-check"></i><b>8.4.1</b> RODBC包</a></li>
<li class="chapter" data-level="8.4.2" data-path="database-else-package.html"><a href="database-else-package.html#roracle包"><i class="fa fa-check"></i><b>8.4.2</b> ROracle包</a></li>
<li class="chapter" data-level="8.4.3" data-path="database-else-package.html"><a href="database-else-package.html#rmysql包"><i class="fa fa-check"></i><b>8.4.3</b> RMySQL包</a></li>
<li class="chapter" data-level="8.4.4" data-path="database-else-package.html"><a href="database-else-package.html#rsqlite"><i class="fa fa-check"></i><b>8.4.4</b> RSQLite</a></li>
</ul></li>
<li class="chapter" data-level="8.5" data-path="database-big-data.html"><a href="database-big-data.html"><i class="fa fa-check"></i><b>8.5</b> 大数据相关R包</a>
<ul>
<li class="chapter" data-level="8.5.1" data-path="database-big-data.html"><a href="database-big-data.html#sparklyr"><i class="fa fa-check"></i><b>8.5.1</b> sparklyr</a></li>
<li class="chapter" data-level="8.5.2" data-path="database-big-data.html"><a href="database-big-data.html#RClickhouse"><i class="fa fa-check"></i><b>8.5.2</b> RClickhouse</a></li>
</ul></li>
<li class="chapter" data-level="8.6" data-path="database-FAQ.html"><a href="database-FAQ.html"><i class="fa fa-check"></i><b>8.6</b> 常见问题</a>
<ul>
<li class="chapter" data-level="8.6.1" data-path="database-FAQ.html"><a href="database-FAQ.html#乱码问题"><i class="fa fa-check"></i><b>8.6.1</b> 乱码问题</a></li>
<li class="chapter" data-level="8.6.2" data-path="database-FAQ.html"><a href="database-FAQ.html#无法连接问题"><i class="fa fa-check"></i><b>8.6.2</b> 无法连接问题</a></li>
<li class="chapter" data-level="8.6.3" data-path="database-FAQ.html"><a href="database-FAQ.html#远程连接"><i class="fa fa-check"></i><b>8.6.3</b> 远程连接</a></li>
<li class="chapter" data-level="8.6.4" data-path="database-FAQ.html"><a href="database-FAQ.html#跳板机连接"><i class="fa fa-check"></i><b>8.6.4</b> 跳板机连接</a></li>
</ul></li>
<li class="chapter" data-level="8.7" data-path="database-dbplyr-package.html"><a href="database-dbplyr-package.html"><i class="fa fa-check"></i><b>8.7</b> dbplyr</a>
<ul>
<li class="chapter" data-level="8.7.1" data-path="database-dbplyr-package.html"><a href="database-dbplyr-package.html#安装-2"><i class="fa fa-check"></i><b>8.7.1</b> 安装</a></li>
<li class="chapter" data-level="8.7.2" data-path="database-dbplyr-package.html"><a href="database-dbplyr-package.html#基础用法-1"><i class="fa fa-check"></i><b>8.7.2</b> 基础用法</a></li>
<li class="chapter" data-level="8.7.3" data-path="database-dbplyr-package.html"><a href="database-dbplyr-package.html#无法正确转化"><i class="fa fa-check"></i><b>8.7.3</b> 无法正确转化</a></li>
</ul></li>
<li class="chapter" data-level="8.8" data-path="database-reference-material.html"><a href="database-reference-material.html"><i class="fa fa-check"></i><b>8.8</b> 参考资料</a></li>
</ul></li>
<li class="chapter" data-level="9" data-path="R-loop-structure.html"><a href="R-loop-structure.html"><i class="fa fa-check"></i><b>9</b> 循环结构</a>
<ul>
<li class="chapter" data-level="9.1" data-path="R-loop-description.html"><a href="R-loop-description.html"><i class="fa fa-check"></i><b>9.1</b> R循环介绍</a>
<ul>
<li class="chapter" data-level="9.1.1" data-path="R-loop-description.html"><a href="R-loop-description.html#R:loop-example"><i class="fa fa-check"></i><b>9.1.1</b> 简单示例</a></li>
<li class="chapter" data-level="9.1.2" data-path="R-loop-description.html"><a href="R-loop-description.html#three:loop-structure"><i class="fa fa-check"></i><b>9.1.2</b> 循环结构</a></li>
<li class="chapter" data-level="9.1.3" data-path="R-loop-description.html"><a href="R-loop-description.html#loop:control"><i class="fa fa-check"></i><b>9.1.3</b> 循环控制</a></li>
<li class="chapter" data-level="9.1.4" data-path="R-loop-description.html"><a href="R-loop-description.html#嵌套循环"><i class="fa fa-check"></i><b>9.1.4</b> 嵌套循环</a></li>
</ul></li>
<li class="chapter" data-level="9.2" data-path="loop-changes.html"><a href="loop-changes.html"><i class="fa fa-check"></i><b>9.2</b> 循环变化</a>
<ul>
<li class="chapter" data-level="9.2.1" data-path="loop-changes.html"><a href="loop-changes.html#修改已有对象"><i class="fa fa-check"></i><b>9.2.1</b> 修改已有对象</a></li>
<li class="chapter" data-level="9.2.2" data-path="loop-changes.html"><a href="loop-changes.html#循环模式"><i class="fa fa-check"></i><b>9.2.2</b> 循环模式</a></li>
<li class="chapter" data-level="9.2.3" data-path="loop-changes.html"><a href="loop-changes.html#未知长度输出"><i class="fa fa-check"></i><b>9.2.3</b> 未知长度输出</a></li>
</ul></li>
<li class="chapter" data-level="9.3" data-path="apply-function.html"><a href="apply-function.html"><i class="fa fa-check"></i><b>9.3</b> apply系列函数</a>
<ul>
<li class="chapter" data-level="9.3.1" data-path="apply-function.html"><a href="apply-function.html#lapply"><i class="fa fa-check"></i><b>9.3.1</b> lapply 循环迭代</a></li>
<li class="chapter" data-level="9.3.2" data-path="apply-function.html"><a href="apply-function.html#sapply"><i class="fa fa-check"></i><b>9.3.2</b> sapply</a></li>
<li class="chapter" data-level="9.3.3" data-path="apply-function.html"><a href="apply-function.html#vapply"><i class="fa fa-check"></i><b>9.3.3</b> vapply 迭代安全函数</a></li>
<li class="chapter" data-level="9.3.4" data-path="apply-function.html"><a href="apply-function.html#apply"><i class="fa fa-check"></i><b>9.3.4</b> apply 多维数据</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="10" data-path="purrr-Iteration.html"><a href="purrr-Iteration.html"><i class="fa fa-check"></i><b>10</b> 循环迭代purrr介绍</a>
<ul>
<li class="chapter" data-level="10.1" data-path="安装-3.html"><a href="安装-3.html"><i class="fa fa-check"></i><b>10.1</b> 安装</a></li>
<li class="chapter" data-level="10.2" data-path="purrr-basic-usage.html"><a href="purrr-basic-usage.html"><i class="fa fa-check"></i><b>10.2</b> 常规用法</a>
<ul>
<li class="chapter" data-level="10.2.1" data-path="purrr-basic-usage.html"><a href="purrr-basic-usage.html#map-系列"><i class="fa fa-check"></i><b>10.2.1</b> map 系列</a></li>
<li class="chapter" data-level="10.2.2" data-path="purrr-basic-usage.html"><a href="purrr-basic-usage.html#pmap-系列"><i class="fa fa-check"></i><b>10.2.2</b> pmap 系列</a></li>
</ul></li>
<li class="chapter" data-level="10.3" data-path="purrr-map.html"><a href="purrr-map.html"><i class="fa fa-check"></i><b>10.3</b> map系列函数</a>
<ul>
<li class="chapter" data-level="10.3.1" data-path="purrr-map.html"><a href="purrr-map.html#用法-3"><i class="fa fa-check"></i><b>10.3.1</b> 用法</a></li>
<li class="chapter" data-level="10.3.2" data-path="purrr-map.html"><a href="purrr-map.html#案例-5"><i class="fa fa-check"></i><b>10.3.2</b> 案例</a></li>
</ul></li>
<li class="chapter" data-level="10.4" data-path="purrr-map2.html"><a href="purrr-map2.html"><i class="fa fa-check"></i><b>10.4</b> map2 系列函数</a></li>
<li class="chapter" data-level="10.5" data-path="purrr-multi-parameter.html"><a href="purrr-multi-parameter.html"><i class="fa fa-check"></i><b>10.5</b> pmap系列函数</a></li>
<li class="chapter" data-level="10.6" data-path="purrr-reduce.html"><a href="purrr-reduce.html"><i class="fa fa-check"></i><b>10.6</b> 归约累计函数</a>
<ul>
<li class="chapter" data-level="10.6.1" data-path="purrr-reduce.html"><a href="purrr-reduce.html#reduce-函数"><i class="fa fa-check"></i><b>10.6.1</b> reduce 函数</a></li>
<li class="chapter" data-level="10.6.2" data-path="purrr-reduce.html"><a href="purrr-reduce.html#accumulate-函数"><i class="fa fa-check"></i><b>10.6.2</b> accumulate 函数</a></li>
</ul></li>
<li class="chapter" data-level="10.7" data-path="purrr-safely-functions.html"><a href="purrr-safely-functions.html"><i class="fa fa-check"></i><b>10.7</b> 安全函数</a></li>
<li class="chapter" data-level="10.8" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html"><i class="fa fa-check"></i><b>10.8</b> 其他函数介绍</a>
<ul>
<li class="chapter" data-level="10.8.1" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html#flatten-系列"><i class="fa fa-check"></i><b>10.8.1</b> flatten 系列</a></li>
<li class="chapter" data-level="10.8.2" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html#imap-函数"><i class="fa fa-check"></i><b>10.8.2</b> imap 函数</a></li>
<li class="chapter" data-level="10.8.3" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html#walk-系列"><i class="fa fa-check"></i><b>10.8.3</b> walk 系列</a></li>
<li class="chapter" data-level="10.8.4" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html#逻辑判断函数"><i class="fa fa-check"></i><b>10.8.4</b> 逻辑判断函数</a></li>
<li class="chapter" data-level="10.8.5" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html#提取函数"><i class="fa fa-check"></i><b>10.8.5</b> 提取函数</a></li>
<li class="chapter" data-level="10.8.6" data-path="purrr-else-functions.html"><a href="purrr-else-functions.html#筛选函数"><i class="fa fa-check"></i><b>10.8.6</b> 筛选函数</a></li>
</ul></li>
</ul></li>
<li class="chapter" data-level="11" data-path="self-define-function.html"><a href="self-define-function.html"><i class="fa fa-check"></i><b>11</b> 自定义函数</a>
<ul>
<li class="chapter" data-level="11.1" data-path="define-function-example.html"><a href="define-function-example.html"><i class="fa fa-check"></i><b>11.1</b> 简单示例</a></li>
<li class="chapter" data-level="11.2" data-path="define-function-conditional-execution.html"><a href="define-function-conditional-execution.html"><i class="fa fa-check"></i><b>11.2</b> 条件执行</a>
<ul>
<li class="chapter" data-level="11.2.1" data-path="define-function-conditional-execution.html"><a href="define-function-conditional-execution.html#多条件执行"><i class="fa fa-check"></i><b>11.2.1</b> 多条件执行</a></li>
</ul></li>
<li class="chapter" data-level="11.3" data-path="define-function-parameter.html"><a href="define-function-parameter.html"><i class="fa fa-check"></i><b>11.3</b> 函数参数</a>
<ul>
<li class="chapter" data-level="11.3.1" data-path="define-function-parameter.html"><a href="define-function-parameter.html#参数名称"><i class="fa fa-check"></i><b>11.3.1</b> 参数名称</a></li>
<li class="chapter" data-level="11.3.2" data-path="define-function-parameter.html"><a href="define-function-parameter.html#检查参数值"><i class="fa fa-check"></i><b>11.3.2</b> 检查参数值</a></li>
<li class="chapter" data-level="11.3.3" data-path="define-function-parameter.html"><a href="define-function-parameter.html#参数-5"><i class="fa fa-check"></i><b>11.3.3</b> …参数</a></li>
</ul></li>
<li class="chapter" data-level="11.4" data-path="function-return.html"><a href="function-return.html"><i class="fa fa-check"></i><b>11.4</b> 返回值</a>
<ul>
<li class="chapter" data-level="11.4.1" data-path="function-return.html"><a href="function-return.html#显式返回"><i class="fa fa-check"></i><b>11.4.1</b> 显式返回</a></li>
<li class="chapter" data-level="11.4.2" data-path="function-return.html"><a href="function-return.html#编写管道函数"><i class="fa fa-check"></i><b>11.4.2</b> 编写管道函数</a></li>
</ul></li>
<li class="chapter" data-level="11.5" data-path="function-environment.html"><a href="function-environment.html"><i class="fa fa-check"></i><b>11.5</b> 环境</a></li>
<li class="chapter" data-level="11.6" data-path="function-expand.html"><a href="function-expand.html"><i class="fa fa-check"></i><b>11.6</b> 拓展部分</a></li>
</ul></li>
<li class="chapter" data-level="12" data-path="file-system-operation.html"><a href="file-system-operation.html"><i class="fa fa-check"></i><b>12</b> R语言文件系统操作</a>
<ul>
<li class="chapter" data-level="12.1" data-path="file-base-r.html"><a href="file-base-r.html"><i class="fa fa-check"></i><b>12.1</b> base R</a>
<ul>
<li class="chapter" data-level="12.1.1" data-path="file-base-r.html"><a href="file-base-r.html#base:r-usage"><i class="fa fa-check"></i><b>12.1.1</b> 用法</a></li>
</ul></li>
<li class="chapter" data-level="12.2" data-path="fs-package.html"><a href="fs-package.html"><i class="fa fa-check"></i><b>12.2</b> fs package</a>
<ul>
<li class="chapter" data-level="12.2.1" data-path="fs-package.html"><a href="fs-package.html#fs-install"><i class="fa fa-check"></i><b>12.2.1</b> 安装</a></li>
<li class="chapter" data-level="12.2.2" data-path="fs-package.html"><a href="fs-package.html#fs-advanced"><i class="fa fa-check"></i><b>12.2.2</b> 优势</a></li>
<li class="chapter" data-level="12.2.3" data-path="fs-package.html"><a href="fs-package.html#fs-usage"><i class="fa fa-check"></i><b>12.2.3</b> 基础用法</a></li>
</ul></li>
<li class="chapter" data-level="12.3" data-path="fs-functions.html"><a href="fs-functions.html"><i class="fa fa-check"></i><b>12.3</b> fs函数介绍</a>
<ul>
<li class="chapter" data-level="12.3.1" data-path="fs-functions.html"><a href="fs-functions.html#fs-file-manipulation"><i class="fa fa-check"></i><b>12.3.1</b> 文件操作</a></li>
<li class="chapter" data-level="12.3.2" data-path="fs-functions.html"><a href="fs-functions.html#fs-dir-manipulation"><i class="fa fa-check"></i><b>12.3.2</b> 目录操作</a></li>
<li class="chapter" data-level="12.3.3" data-path="fs-functions.html"><a href="fs-functions.html#fs-link-manipulation"><i class="fa fa-check"></i><b>12.3.3</b> 链接操作</a></li>
<li class="chapter" data-level="12.3.4" data-path="fs-functions.html"><a href="fs-functions.html#fs-path-manipulation"><i class="fa fa-check"></i><b>12.3.4</b> 路径操作</a></li>
<li class="chapter" data-level="12.3.5" data-path="fs-functions.html"><a href="fs-functions.html#fs-help-manipulation"><i class="fa fa-check"></i><b>12.3.5</b> 辅助函数</a></li>
</ul></li>
<li class="chapter" data-level="12.4" data-path="file-base-fs-difference.html"><a href="file-base-fs-difference.html"><i class="fa fa-check"></i><b>12.4</b> base-fs-shell比较</a></li>
<li class="chapter" data-level="12.5" data-path="file-manipulation-reference-material.html"><a href="file-manipulation-reference-material.html"><i class="fa fa-check"></i><b>12.5</b> 参考资料</a></li>
</ul></li>
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<li><a href="https://gitee.com/zhongyufei/Rbook" target="blank">gitee地址</a></li>

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<div id="dplyr:merge-two-table" class="section level2" number="2.4">
<h2><span class="header-section-number">2.4</span> 表关联</h2>
<p>在我们做数据分析项目时，大多数时候数据源不止一个，我们需要通过表间共有信息字段将表关联，让表信息更加全面，从而方便做各种信息分类汇总。</p>
<p>dplyr 中表关联是通过一组函数实现，像<code>sql</code>中的<code>left join</code>,<code>inner join</code>等表格之间的操作，或者是Excel中<code>Power Piovt</code>建模的建立关系，从而实现不同表格间的关联。</p>
<div id="dplyr:merge-table-usage" class="section level3" number="2.4.1">
<h3><span class="header-section-number">2.4.1</span> 两表关联</h3>
<p>dplyr 中<code>left_join()</code>,<code>full_join</code>,<code>inner_join()</code>等动词关联两个表，详情请查看：<code>vignette("two-table")</code>。</p>
<p><code>left_join()</code>,<code>right_join()</code>,<code>full_join()</code>,<code>inner_join</code>()，第一个以左表为主，第二个右表为主，第三个全连接，第四个内连接(只返回两表中都有的记录)，和数据库中用法一致。</p>
<blockquote>
<p><code>left_join()</code>实现类似 Excel中<code>VLOOKUP</code>函数功能,将匹配到的“右表”字段依据对应关系关联到“左表”上。</p>
</blockquote>
<div id="基础用法" class="section level4" number="2.4.1.1">
<h4><span class="header-section-number">2.4.1.1</span> 基础用法</h4>
<p>dplyr中的关联函数的关联条件可以分为:</p>
<ul>
<li><p>同名列关联</p></li>
<li><p>不同名称列关联</p></li>
</ul>
<div id="同名列关联" class="section level5" number="2.4.1.1.1">
<h5><span class="header-section-number">2.4.1.1.1</span> 同名列关联</h5>
<p>默认同名列关联，也可指定关联条件列，类似数据库中<code>on a.column = b.column</code>，但 R 代码看起来更加“优雅”。</p>
<ol style="list-style-type: decimal">
<li>单个关联条件</li>
</ol>
<div class="sourceCode" id="cb134"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb134-1"><a href="dplyr-merge-two-table.html#cb134-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(<span class="st">&quot;nycflights13&quot;</span>)</span>
<span id="cb134-2"><a href="dplyr-merge-two-table.html#cb134-2" aria-hidden="true" tabindex="-1"></a>flights2 <span class="ot">&lt;-</span> flights <span class="sc">%&gt;%</span> <span class="fu">select</span>(year<span class="sc">:</span>day, hour, origin, dest, tailnum, carrier)</span>
<span id="cb134-3"><a href="dplyr-merge-two-table.html#cb134-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb134-4"><a href="dplyr-merge-two-table.html#cb134-4" aria-hidden="true" tabindex="-1"></a><span class="co"># 默认同名</span></span>
<span id="cb134-5"><a href="dplyr-merge-two-table.html#cb134-5" aria-hidden="true" tabindex="-1"></a>flights2 <span class="sc">%&gt;%</span> <span class="fu">left_join</span>(airlines)</span>
<span id="cb134-6"><a href="dplyr-merge-two-table.html#cb134-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;carrier&quot;</span></span>
<span id="cb134-7"><a href="dplyr-merge-two-table.html#cb134-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 336,776 x 9</span></span>
<span id="cb134-8"><a href="dplyr-merge-two-table.html#cb134-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    year month   day  hour origin dest  tailnum carrier name                  </span></span>
<span id="cb134-9"><a href="dplyr-merge-two-table.html#cb134-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;  &lt;chr&gt; &lt;chr&gt;   &lt;chr&gt;   &lt;chr&gt;                 </span></span>
<span id="cb134-10"><a href="dplyr-merge-two-table.html#cb134-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1  2013     1     1     5 EWR    IAH   N14228  UA      United Air Lines Inc. </span></span>
<span id="cb134-11"><a href="dplyr-merge-two-table.html#cb134-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2  2013     1     1     5 LGA    IAH   N24211  UA      United Air Lines Inc. </span></span>
<span id="cb134-12"><a href="dplyr-merge-two-table.html#cb134-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3  2013     1     1     5 JFK    MIA   N619AA  AA      American Airlines Inc.</span></span>
<span id="cb134-13"><a href="dplyr-merge-two-table.html#cb134-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4  2013     1     1     5 JFK    BQN   N804JB  B6      JetBlue Airways       </span></span>
<span id="cb134-14"><a href="dplyr-merge-two-table.html#cb134-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5  2013     1     1     6 LGA    ATL   N668DN  DL      Delta Air Lines Inc.  </span></span>
<span id="cb134-15"><a href="dplyr-merge-two-table.html#cb134-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6  2013     1     1     5 EWR    ORD   N39463  UA      United Air Lines Inc. </span></span>
<span id="cb134-16"><a href="dplyr-merge-two-table.html#cb134-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # ... with 336,770 more rows</span></span></code></pre></div>
<p>在某些时候，不同的表间可能出现同名的字段，但是并不能作为关联字段，这是就需要人为指定关联字段，并且建议在写代码的时候明确指定关联字段，能避免一些可能不必要的错误。</p>
<div class="sourceCode" id="cb135"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb135-1"><a href="dplyr-merge-two-table.html#cb135-1" aria-hidden="true" tabindex="-1"></a><span class="co"># 或指定列名</span></span>
<span id="cb135-2"><a href="dplyr-merge-two-table.html#cb135-2" aria-hidden="true" tabindex="-1"></a>flights2 <span class="sc">%&gt;%</span> <span class="fu">left_join</span>(planes, <span class="at">by =</span> <span class="st">&quot;tailnum&quot;</span>)</span>
<span id="cb135-3"><a href="dplyr-merge-two-table.html#cb135-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 336,776 x 16</span></span>
<span id="cb135-4"><a href="dplyr-merge-two-table.html#cb135-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   year.x month   day  hour origin dest  tailnum carrier year.y type             </span></span>
<span id="cb135-5"><a href="dplyr-merge-two-table.html#cb135-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;  &lt;chr&gt; &lt;chr&gt;   &lt;chr&gt;    &lt;int&gt; &lt;chr&gt;            </span></span>
<span id="cb135-6"><a href="dplyr-merge-two-table.html#cb135-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1   2013     1     1     5 EWR    IAH   N14228  UA        1999 Fixed wing multi~</span></span>
<span id="cb135-7"><a href="dplyr-merge-two-table.html#cb135-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2   2013     1     1     5 LGA    IAH   N24211  UA        1998 Fixed wing multi~</span></span>
<span id="cb135-8"><a href="dplyr-merge-two-table.html#cb135-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3   2013     1     1     5 JFK    MIA   N619AA  AA        1990 Fixed wing multi~</span></span>
<span id="cb135-9"><a href="dplyr-merge-two-table.html#cb135-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4   2013     1     1     5 JFK    BQN   N804JB  B6        2012 Fixed wing multi~</span></span>
<span id="cb135-10"><a href="dplyr-merge-two-table.html#cb135-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5   2013     1     1     6 LGA    ATL   N668DN  DL        1991 Fixed wing multi~</span></span>
<span id="cb135-11"><a href="dplyr-merge-two-table.html#cb135-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6   2013     1     1     5 EWR    ORD   N39463  UA        2012 Fixed wing multi~</span></span>
<span id="cb135-12"><a href="dplyr-merge-two-table.html#cb135-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # ... with 336,770 more rows, and 6 more variables: manufacturer &lt;chr&gt;,</span></span>
<span id="cb135-13"><a href="dplyr-merge-two-table.html#cb135-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; #   model &lt;chr&gt;, engines &lt;int&gt;, seats &lt;int&gt;, speed &lt;int&gt;, engine &lt;chr&gt;</span></span></code></pre></div>
<p>像 Sql 中指定关联字段，以下 Sql 代码和上面 R 代码 等效。</p>
<div class="sourceCode" id="cb136"><pre class="sourceCode sql"><code class="sourceCode sql"><span id="cb136-1"><a href="dplyr-merge-two-table.html#cb136-1" aria-hidden="true" tabindex="-1"></a><span class="kw">select</span> <span class="op">*</span> <span class="kw">from</span> flights2 a <span class="kw">left</span> <span class="kw">join</span> planes b <span class="kw">on</span> a.tailnum <span class="op">=</span> b.tailnum </span></code></pre></div>
<ol start="2" style="list-style-type: decimal">
<li>多个关联条件</li>
</ol>
<div class="sourceCode" id="cb137"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb137-1"><a href="dplyr-merge-two-table.html#cb137-1" aria-hidden="true" tabindex="-1"></a>dta <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">name =</span> <span class="st">&#39;vega&#39;</span>,<span class="at">grade =</span> <span class="dv">1</span>)</span>
<span id="cb137-2"><a href="dplyr-merge-two-table.html#cb137-2" aria-hidden="true" tabindex="-1"></a>dtb <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">name =</span> <span class="fu">c</span>(<span class="st">&#39;vega&#39;</span>,<span class="st">&#39;yufei&#39;</span>),<span class="at">grade =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>,性别 <span class="ot">=</span> <span class="fu">c</span>(<span class="st">&#39;男&#39;</span>,<span class="st">&#39;男&#39;</span>))</span>
<span id="cb137-3"><a href="dplyr-merge-two-table.html#cb137-3" aria-hidden="true" tabindex="-1"></a><span class="fu">left_join</span>(dta,dtb,<span class="at">by=</span><span class="fu">c</span>(<span class="st">&#39;name&#39;</span>,<span class="st">&#39;grade&#39;</span>))</span>
<span id="cb137-4"><a href="dplyr-merge-two-table.html#cb137-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   name grade 性别</span></span>
<span id="cb137-5"><a href="dplyr-merge-two-table.html#cb137-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 vega     1   男</span></span></code></pre></div>
<p>必须指定关联字段的情况，如下所示：</p>
<div class="sourceCode" id="cb138"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb138-1"><a href="dplyr-merge-two-table.html#cb138-1" aria-hidden="true" tabindex="-1"></a><span class="co"># id 是无效列，默认同名关联的话导致无法正常返回结果</span></span>
<span id="cb138-2"><a href="dplyr-merge-two-table.html#cb138-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb138-3"><a href="dplyr-merge-two-table.html#cb138-3" aria-hidden="true" tabindex="-1"></a>dta <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">id =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>, <span class="at">name =</span> <span class="fu">c</span>(<span class="st">&#39;vega&#39;</span>,<span class="st">&#39;yufei&#39;</span>),<span class="at">grade =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>)</span>
<span id="cb138-4"><a href="dplyr-merge-two-table.html#cb138-4" aria-hidden="true" tabindex="-1"></a>dtb <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">id =</span> <span class="dv">2</span><span class="sc">:</span><span class="dv">1</span>,<span class="at">name =</span> <span class="fu">c</span>(<span class="st">&#39;vega&#39;</span>,<span class="st">&#39;yufei&#39;</span>),<span class="at">grade =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>,性别 <span class="ot">=</span> <span class="fu">c</span>(<span class="st">&#39;男&#39;</span>,<span class="st">&#39;男&#39;</span>))</span>
<span id="cb138-5"><a href="dplyr-merge-two-table.html#cb138-5" aria-hidden="true" tabindex="-1"></a><span class="fu">left_join</span>(dta,dtb)</span>
<span id="cb138-6"><a href="dplyr-merge-two-table.html#cb138-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = c(&quot;id&quot;, &quot;name&quot;, &quot;grade&quot;)</span></span>
<span id="cb138-7"><a href="dplyr-merge-two-table.html#cb138-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   id  name grade 性别</span></span>
<span id="cb138-8"><a href="dplyr-merge-two-table.html#cb138-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1  1  vega     1 &lt;NA&gt;</span></span>
<span id="cb138-9"><a href="dplyr-merge-two-table.html#cb138-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2  2 yufei     2 &lt;NA&gt;</span></span>
<span id="cb138-10"><a href="dplyr-merge-two-table.html#cb138-10" aria-hidden="true" tabindex="-1"></a><span class="fu">left_join</span>(dta,dtb,<span class="at">by=</span><span class="fu">c</span>(<span class="st">&#39;name&#39;</span>,<span class="st">&#39;grade&#39;</span>))</span>
<span id="cb138-11"><a href="dplyr-merge-two-table.html#cb138-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   id.x  name grade id.y 性别</span></span>
<span id="cb138-12"><a href="dplyr-merge-two-table.html#cb138-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1    1  vega     1    2   男</span></span>
<span id="cb138-13"><a href="dplyr-merge-two-table.html#cb138-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2    2 yufei     2    1   男</span></span></code></pre></div>
</div>
<div id="不同名称列关联" class="section level5" number="2.4.1.1.2">
<h5><span class="header-section-number">2.4.1.1.2</span> 不同名称列关联</h5>
<p><code>left_join(x,y,by = c("a" = "b", "c" = "d"))</code> 将会匹配 <code>x$a</code> to <code>y$b</code> 和 <code>x$c</code> to <code>y$d</code> 作为关联条件。</p>
<div class="sourceCode" id="cb139"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb139-1"><a href="dplyr-merge-two-table.html#cb139-1" aria-hidden="true" tabindex="-1"></a><span class="co">#出发机场和目的机场信息</span></span>
<span id="cb139-2"><a href="dplyr-merge-two-table.html#cb139-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb139-3"><a href="dplyr-merge-two-table.html#cb139-3" aria-hidden="true" tabindex="-1"></a>flights2 <span class="sc">%&gt;%</span> <span class="fu">left_join</span>(airports, <span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;dest&quot;</span> <span class="ot">=</span> <span class="st">&quot;faa&quot;</span>))</span>
<span id="cb139-4"><a href="dplyr-merge-two-table.html#cb139-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 336,776 x 15</span></span>
<span id="cb139-5"><a href="dplyr-merge-two-table.html#cb139-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    year month   day  hour origin dest  tailnum carrier name      lat   lon   alt</span></span>
<span id="cb139-6"><a href="dplyr-merge-two-table.html#cb139-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt; &lt;int&gt; &lt;dbl&gt; &lt;chr&gt;  &lt;chr&gt; &lt;chr&gt;   &lt;chr&gt;   &lt;chr&gt;   &lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;</span></span>
<span id="cb139-7"><a href="dplyr-merge-two-table.html#cb139-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1  2013     1     1     5 EWR    IAH   N14228  UA      George~  30.0 -95.3    97</span></span>
<span id="cb139-8"><a href="dplyr-merge-two-table.html#cb139-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2  2013     1     1     5 LGA    IAH   N24211  UA      George~  30.0 -95.3    97</span></span>
<span id="cb139-9"><a href="dplyr-merge-two-table.html#cb139-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3  2013     1     1     5 JFK    MIA   N619AA  AA      Miami ~  25.8 -80.3     8</span></span>
<span id="cb139-10"><a href="dplyr-merge-two-table.html#cb139-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4  2013     1     1     5 JFK    BQN   N804JB  B6      &lt;NA&gt;     NA    NA      NA</span></span>
<span id="cb139-11"><a href="dplyr-merge-two-table.html#cb139-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5  2013     1     1     6 LGA    ATL   N668DN  DL      Hartsf~  33.6 -84.4  1026</span></span>
<span id="cb139-12"><a href="dplyr-merge-two-table.html#cb139-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6  2013     1     1     5 EWR    ORD   N39463  UA      Chicag~  42.0 -87.9   668</span></span>
<span id="cb139-13"><a href="dplyr-merge-two-table.html#cb139-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # ... with 336,770 more rows, and 3 more variables: tz &lt;dbl&gt;, dst &lt;chr&gt;,</span></span>
<span id="cb139-14"><a href="dplyr-merge-two-table.html#cb139-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; #   tzone &lt;chr&gt;</span></span>
<span id="cb139-15"><a href="dplyr-merge-two-table.html#cb139-15" aria-hidden="true" tabindex="-1"></a><span class="co"># flights2 %&gt;% left_join(airports, c(&quot;origin&quot; = &quot;faa&quot;))</span></span>
<span id="cb139-16"><a href="dplyr-merge-two-table.html#cb139-16" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb139-17"><a href="dplyr-merge-two-table.html#cb139-17" aria-hidden="true" tabindex="-1"></a><span class="co"># 多条件关联时用逗号隔开</span></span>
<span id="cb139-18"><a href="dplyr-merge-two-table.html#cb139-18" aria-hidden="true" tabindex="-1"></a>dta <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">id =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>, <span class="at">Name =</span> <span class="fu">c</span>(<span class="st">&#39;vega&#39;</span>,<span class="st">&#39;yufei&#39;</span>),<span class="at">Grade =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>)</span>
<span id="cb139-19"><a href="dplyr-merge-two-table.html#cb139-19" aria-hidden="true" tabindex="-1"></a>dtb <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">id =</span> <span class="dv">2</span><span class="sc">:</span><span class="dv">1</span>,<span class="at">name =</span> <span class="fu">c</span>(<span class="st">&#39;vega&#39;</span>,<span class="st">&#39;yufei&#39;</span>),<span class="at">grade =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>,性别 <span class="ot">=</span> <span class="fu">c</span>(<span class="st">&#39;男&#39;</span>,<span class="st">&#39;男&#39;</span>))</span>
<span id="cb139-20"><a href="dplyr-merge-two-table.html#cb139-20" aria-hidden="true" tabindex="-1"></a><span class="fu">left_join</span>(dta,dtb,<span class="at">by =</span> <span class="fu">c</span>(<span class="st">&quot;Name&quot;</span> <span class="ot">=</span> <span class="st">&quot;name&quot;</span>,<span class="st">&quot;Grade&quot;</span> <span class="ot">=</span> <span class="st">&quot;grade&quot;</span>)) <span class="sc">%&gt;%</span> </span>
<span id="cb139-21"><a href="dplyr-merge-two-table.html#cb139-21" aria-hidden="true" tabindex="-1"></a>  <span class="fu">select</span>(<span class="sc">-</span>id.x,<span class="sc">-</span>id.y)</span>
<span id="cb139-22"><a href="dplyr-merge-two-table.html#cb139-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    Name Grade 性别</span></span>
<span id="cb139-23"><a href="dplyr-merge-two-table.html#cb139-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1  vega     1   男</span></span>
<span id="cb139-24"><a href="dplyr-merge-two-table.html#cb139-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 yufei     2   男</span></span></code></pre></div>
</div>
<div id="不唯一关联" class="section level5" number="2.4.1.1.3">
<h5><span class="header-section-number">2.4.1.1.3</span> 不唯一关联</h5>
<p>如果关联表中值不是唯一的，连接将添加匹配表的所有可能组合(笛卡尔积)：</p>
<p>右表重复</p>
<div class="sourceCode" id="cb140"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb140-1"><a href="dplyr-merge-two-table.html#cb140-1" aria-hidden="true" tabindex="-1"></a>df1 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">x =</span> <span class="fu">c</span>(<span class="dv">1</span>,  <span class="dv">2</span>), <span class="at">y =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>)</span>
<span id="cb140-2"><a href="dplyr-merge-two-table.html#cb140-2" aria-hidden="true" tabindex="-1"></a>df2 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">x =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">2</span>,<span class="dv">2</span>), <span class="at">z =</span> <span class="fu">c</span>(<span class="st">&quot;a&quot;</span>, <span class="st">&quot;a&quot;</span>, <span class="st">&quot;b&quot;</span>,<span class="st">&quot;b&quot;</span>))</span>
<span id="cb140-3"><a href="dplyr-merge-two-table.html#cb140-3" aria-hidden="true" tabindex="-1"></a>df1 <span class="sc">%&gt;%</span> <span class="fu">left_join</span>(df2)</span>
<span id="cb140-4"><a href="dplyr-merge-two-table.html#cb140-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb140-5"><a href="dplyr-merge-two-table.html#cb140-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 4 x 3</span></span>
<span id="cb140-6"><a href="dplyr-merge-two-table.html#cb140-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y z    </span></span>
<span id="cb140-7"><a href="dplyr-merge-two-table.html#cb140-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;dbl&gt; &lt;int&gt; &lt;chr&gt;</span></span>
<span id="cb140-8"><a href="dplyr-merge-two-table.html#cb140-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1 a    </span></span>
<span id="cb140-9"><a href="dplyr-merge-two-table.html#cb140-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     1     1 a    </span></span>
<span id="cb140-10"><a href="dplyr-merge-two-table.html#cb140-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3     2     2 b    </span></span>
<span id="cb140-11"><a href="dplyr-merge-two-table.html#cb140-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4     2     2 b</span></span>
<span id="cb140-12"><a href="dplyr-merge-two-table.html#cb140-12" aria-hidden="true" tabindex="-1"></a>df1 <span class="sc">%&gt;%</span> <span class="fu">right_join</span>(df2)</span>
<span id="cb140-13"><a href="dplyr-merge-two-table.html#cb140-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb140-14"><a href="dplyr-merge-two-table.html#cb140-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 4 x 3</span></span>
<span id="cb140-15"><a href="dplyr-merge-two-table.html#cb140-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y z    </span></span>
<span id="cb140-16"><a href="dplyr-merge-two-table.html#cb140-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;dbl&gt; &lt;int&gt; &lt;chr&gt;</span></span>
<span id="cb140-17"><a href="dplyr-merge-two-table.html#cb140-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1 a    </span></span>
<span id="cb140-18"><a href="dplyr-merge-two-table.html#cb140-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     1     1 a    </span></span>
<span id="cb140-19"><a href="dplyr-merge-two-table.html#cb140-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3     2     2 b    </span></span>
<span id="cb140-20"><a href="dplyr-merge-two-table.html#cb140-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4     2     2 b</span></span></code></pre></div>
<p>两表重复</p>
<div class="sourceCode" id="cb141"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb141-1"><a href="dplyr-merge-two-table.html#cb141-1" aria-hidden="true" tabindex="-1"></a>df1 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">x =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">2</span>), <span class="at">y =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">3</span>)</span>
<span id="cb141-2"><a href="dplyr-merge-two-table.html#cb141-2" aria-hidden="true" tabindex="-1"></a>df2 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">x =</span> <span class="fu">c</span>(<span class="dv">1</span>, <span class="dv">1</span>, <span class="dv">2</span>), <span class="at">z =</span> <span class="fu">c</span>(<span class="st">&quot;a&quot;</span>, <span class="st">&quot;b&quot;</span>, <span class="st">&quot;a&quot;</span>))</span>
<span id="cb141-3"><a href="dplyr-merge-two-table.html#cb141-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb141-4"><a href="dplyr-merge-two-table.html#cb141-4" aria-hidden="true" tabindex="-1"></a>df1 <span class="sc">%&gt;%</span> <span class="fu">left_join</span>(df2)</span>
<span id="cb141-5"><a href="dplyr-merge-two-table.html#cb141-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb141-6"><a href="dplyr-merge-two-table.html#cb141-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 5 x 3</span></span>
<span id="cb141-7"><a href="dplyr-merge-two-table.html#cb141-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y z    </span></span>
<span id="cb141-8"><a href="dplyr-merge-two-table.html#cb141-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;dbl&gt; &lt;int&gt; &lt;chr&gt;</span></span>
<span id="cb141-9"><a href="dplyr-merge-two-table.html#cb141-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1 a    </span></span>
<span id="cb141-10"><a href="dplyr-merge-two-table.html#cb141-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     1     1 b    </span></span>
<span id="cb141-11"><a href="dplyr-merge-two-table.html#cb141-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3     1     2 a    </span></span>
<span id="cb141-12"><a href="dplyr-merge-two-table.html#cb141-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4     1     2 b    </span></span>
<span id="cb141-13"><a href="dplyr-merge-two-table.html#cb141-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5     2     3 a</span></span></code></pre></div>
<p>在我们工作中可能需要求两个表之间的笛卡尔乘积<a href="#fn5" class="footnote-ref" id="fnref5"><sup>5</sup></a>，并且没有可关联字段，该如何求？</p>
<div class="sourceCode" id="cb142"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb142-1"><a href="dplyr-merge-two-table.html#cb142-1" aria-hidden="true" tabindex="-1"></a>dta <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">a=</span>letters)</span>
<span id="cb142-2"><a href="dplyr-merge-two-table.html#cb142-2" aria-hidden="true" tabindex="-1"></a>dtb <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">b=</span>LETTERS)</span>
<span id="cb142-3"><a href="dplyr-merge-two-table.html#cb142-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb142-4"><a href="dplyr-merge-two-table.html#cb142-4" aria-hidden="true" tabindex="-1"></a><span class="fu">full_join</span>(dta,dtb,<span class="at">by =</span> <span class="fu">character</span>())<span class="sc">%&gt;%</span> </span>
<span id="cb142-5"><a href="dplyr-merge-two-table.html#cb142-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">glimpse</span>()</span>
<span id="cb142-6"><a href="dplyr-merge-two-table.html#cb142-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Rows: 676</span></span>
<span id="cb142-7"><a href="dplyr-merge-two-table.html#cb142-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Columns: 2</span></span>
<span id="cb142-8"><a href="dplyr-merge-two-table.html#cb142-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $ a &lt;chr&gt; &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;~</span></span>
<span id="cb142-9"><a href="dplyr-merge-two-table.html#cb142-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $ b &lt;chr&gt; &quot;A&quot;, &quot;B&quot;, &quot;C&quot;, &quot;D&quot;, &quot;E&quot;, &quot;F&quot;, &quot;G&quot;, &quot;H&quot;, &quot;I&quot;, &quot;J&quot;, &quot;K&quot;, &quot;L&quot;, &quot;M&quot;, &quot;N&quot;~</span></span></code></pre></div>
<p>以上是简单的构造笛卡尔积表的办法，我们还可以通过构建相同列达到效果,如下所示：</p>
<div class="sourceCode" id="cb143"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb143-1"><a href="dplyr-merge-two-table.html#cb143-1" aria-hidden="true" tabindex="-1"></a>dta <span class="sc">%&gt;%</span></span>
<span id="cb143-2"><a href="dplyr-merge-two-table.html#cb143-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">col =</span> <span class="dv">1</span>) <span class="sc">%&gt;%</span> </span>
<span id="cb143-3"><a href="dplyr-merge-two-table.html#cb143-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">left_join</span>(dtb <span class="sc">%&gt;%</span>  <span class="fu">mutate</span>(<span class="at">col=</span><span class="dv">1</span>)) <span class="sc">%&gt;%</span> </span>
<span id="cb143-4"><a href="dplyr-merge-two-table.html#cb143-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">mutate</span>(<span class="at">col =</span> <span class="cn">NULL</span>) <span class="sc">%&gt;%</span> </span>
<span id="cb143-5"><a href="dplyr-merge-two-table.html#cb143-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">glimpse</span>()</span>
<span id="cb143-6"><a href="dplyr-merge-two-table.html#cb143-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;col&quot;</span></span>
<span id="cb143-7"><a href="dplyr-merge-two-table.html#cb143-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Rows: 676</span></span>
<span id="cb143-8"><a href="dplyr-merge-two-table.html#cb143-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Columns: 2</span></span>
<span id="cb143-9"><a href="dplyr-merge-two-table.html#cb143-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $ a &lt;chr&gt; &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;, &quot;a&quot;~</span></span>
<span id="cb143-10"><a href="dplyr-merge-two-table.html#cb143-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; $ b &lt;chr&gt; &quot;A&quot;, &quot;B&quot;, &quot;C&quot;, &quot;D&quot;, &quot;E&quot;, &quot;F&quot;, &quot;G&quot;, &quot;H&quot;, &quot;I&quot;, &quot;J&quot;, &quot;K&quot;, &quot;L&quot;, &quot;M&quot;, &quot;N&quot;~</span></span></code></pre></div>
</div>
</div>
<div id="筛选关联" class="section level4" number="2.4.1.2">
<h4><span class="header-section-number">2.4.1.2</span> 筛选关联</h4>
<p>在某些时候筛选关联会比较方便，但是我个人比较少用。</p>
<p><code>anti_join()</code>:删除所有左表中在右表中匹配到的行</p>
<p><code>semi_join()</code>:保留所有左表在右表中匹配到的行</p>
<div class="sourceCode" id="cb144"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb144-1"><a href="dplyr-merge-two-table.html#cb144-1" aria-hidden="true" tabindex="-1"></a>df1 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">a=</span>letters[<span class="dv">1</span><span class="sc">:</span><span class="dv">20</span>],<span class="at">b=</span><span class="dv">1</span><span class="sc">:</span><span class="dv">20</span>)</span>
<span id="cb144-2"><a href="dplyr-merge-two-table.html#cb144-2" aria-hidden="true" tabindex="-1"></a>df2 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">a=</span>letters,<span class="at">b=</span><span class="dv">1</span><span class="sc">:</span><span class="dv">26</span>)</span>
<span id="cb144-3"><a href="dplyr-merge-two-table.html#cb144-3" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb144-4"><a href="dplyr-merge-two-table.html#cb144-4" aria-hidden="true" tabindex="-1"></a>df2 <span class="sc">%&gt;%</span> <span class="fu">anti_join</span>(df1)</span>
<span id="cb144-5"><a href="dplyr-merge-two-table.html#cb144-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = c(&quot;a&quot;, &quot;b&quot;)</span></span>
<span id="cb144-6"><a href="dplyr-merge-two-table.html#cb144-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 6 x 2</span></span>
<span id="cb144-7"><a href="dplyr-merge-two-table.html#cb144-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   a         b</span></span>
<span id="cb144-8"><a href="dplyr-merge-two-table.html#cb144-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;chr&gt; &lt;int&gt;</span></span>
<span id="cb144-9"><a href="dplyr-merge-two-table.html#cb144-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 u        21</span></span>
<span id="cb144-10"><a href="dplyr-merge-two-table.html#cb144-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 v        22</span></span>
<span id="cb144-11"><a href="dplyr-merge-two-table.html#cb144-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3 w        23</span></span>
<span id="cb144-12"><a href="dplyr-merge-two-table.html#cb144-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4 x        24</span></span>
<span id="cb144-13"><a href="dplyr-merge-two-table.html#cb144-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5 y        25</span></span>
<span id="cb144-14"><a href="dplyr-merge-two-table.html#cb144-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6 z        26</span></span>
<span id="cb144-15"><a href="dplyr-merge-two-table.html#cb144-15" aria-hidden="true" tabindex="-1"></a>df1 <span class="sc">%&gt;%</span> <span class="fu">semi_join</span>(df2)</span>
<span id="cb144-16"><a href="dplyr-merge-two-table.html#cb144-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = c(&quot;a&quot;, &quot;b&quot;)</span></span>
<span id="cb144-17"><a href="dplyr-merge-two-table.html#cb144-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 20 x 2</span></span>
<span id="cb144-18"><a href="dplyr-merge-two-table.html#cb144-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   a         b</span></span>
<span id="cb144-19"><a href="dplyr-merge-two-table.html#cb144-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;chr&gt; &lt;int&gt;</span></span>
<span id="cb144-20"><a href="dplyr-merge-two-table.html#cb144-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1 a         1</span></span>
<span id="cb144-21"><a href="dplyr-merge-two-table.html#cb144-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2 b         2</span></span>
<span id="cb144-22"><a href="dplyr-merge-two-table.html#cb144-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3 c         3</span></span>
<span id="cb144-23"><a href="dplyr-merge-two-table.html#cb144-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4 d         4</span></span>
<span id="cb144-24"><a href="dplyr-merge-two-table.html#cb144-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5 e         5</span></span>
<span id="cb144-25"><a href="dplyr-merge-two-table.html#cb144-25" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6 f         6</span></span>
<span id="cb144-26"><a href="dplyr-merge-two-table.html#cb144-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # ... with 14 more rows</span></span></code></pre></div>
</div>
<div id="集合操作" class="section level4" number="2.4.1.3">
<h4><span class="header-section-number">2.4.1.3</span> 集合操作</h4>
<p>以下动词要求x,y具有相同的变量，也就是x,y的格式一样。</p>
<ol style="list-style-type: decimal">
<li><p><code>intersect(x,y)</code>返回x,y交集</p></li>
<li><p><code>union(x,y)</code>返回x,y中唯一的值</p></li>
<li><p><code>setdiff(x,y)</code>返回存在x中但是不存在y中的记录</p></li>
<li><p><code>union_all(x,y)</code>返回全部值，不删除重复值</p></li>
</ol>
<div class="sourceCode" id="cb145"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb145-1"><a href="dplyr-merge-two-table.html#cb145-1" aria-hidden="true" tabindex="-1"></a>(df1 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">x =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>, <span class="at">y =</span> <span class="fu">c</span>(1L, 1L)))</span>
<span id="cb145-2"><a href="dplyr-merge-two-table.html#cb145-2" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 2 x 2</span></span>
<span id="cb145-3"><a href="dplyr-merge-two-table.html#cb145-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-4"><a href="dplyr-merge-two-table.html#cb145-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-5"><a href="dplyr-merge-two-table.html#cb145-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1</span></span>
<span id="cb145-6"><a href="dplyr-merge-two-table.html#cb145-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     2     1</span></span>
<span id="cb145-7"><a href="dplyr-merge-two-table.html#cb145-7" aria-hidden="true" tabindex="-1"></a>(df2 <span class="ot">&lt;-</span> <span class="fu">tibble</span>(<span class="at">x =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>, <span class="at">y =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">2</span>))</span>
<span id="cb145-8"><a href="dplyr-merge-two-table.html#cb145-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 2 x 2</span></span>
<span id="cb145-9"><a href="dplyr-merge-two-table.html#cb145-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-10"><a href="dplyr-merge-two-table.html#cb145-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-11"><a href="dplyr-merge-two-table.html#cb145-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1</span></span>
<span id="cb145-12"><a href="dplyr-merge-two-table.html#cb145-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     2     2</span></span>
<span id="cb145-13"><a href="dplyr-merge-two-table.html#cb145-13" aria-hidden="true" tabindex="-1"></a><span class="fu">intersect</span>(df1, df2)</span>
<span id="cb145-14"><a href="dplyr-merge-two-table.html#cb145-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 1 x 2</span></span>
<span id="cb145-15"><a href="dplyr-merge-two-table.html#cb145-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-16"><a href="dplyr-merge-two-table.html#cb145-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-17"><a href="dplyr-merge-two-table.html#cb145-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1</span></span>
<span id="cb145-18"><a href="dplyr-merge-two-table.html#cb145-18" aria-hidden="true" tabindex="-1"></a><span class="fu">union</span>(df1, df2)</span>
<span id="cb145-19"><a href="dplyr-merge-two-table.html#cb145-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 3 x 2</span></span>
<span id="cb145-20"><a href="dplyr-merge-two-table.html#cb145-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-21"><a href="dplyr-merge-two-table.html#cb145-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-22"><a href="dplyr-merge-two-table.html#cb145-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1</span></span>
<span id="cb145-23"><a href="dplyr-merge-two-table.html#cb145-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     2     1</span></span>
<span id="cb145-24"><a href="dplyr-merge-two-table.html#cb145-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3     2     2</span></span>
<span id="cb145-25"><a href="dplyr-merge-two-table.html#cb145-25" aria-hidden="true" tabindex="-1"></a><span class="fu">union_all</span>(df1, df2)</span>
<span id="cb145-26"><a href="dplyr-merge-two-table.html#cb145-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 4 x 2</span></span>
<span id="cb145-27"><a href="dplyr-merge-two-table.html#cb145-27" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-28"><a href="dplyr-merge-two-table.html#cb145-28" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-29"><a href="dplyr-merge-two-table.html#cb145-29" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     1     1</span></span>
<span id="cb145-30"><a href="dplyr-merge-two-table.html#cb145-30" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2     2     1</span></span>
<span id="cb145-31"><a href="dplyr-merge-two-table.html#cb145-31" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3     1     1</span></span>
<span id="cb145-32"><a href="dplyr-merge-two-table.html#cb145-32" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4     2     2</span></span>
<span id="cb145-33"><a href="dplyr-merge-two-table.html#cb145-33" aria-hidden="true" tabindex="-1"></a><span class="fu">setdiff</span>(df1, df2)</span>
<span id="cb145-34"><a href="dplyr-merge-two-table.html#cb145-34" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 1 x 2</span></span>
<span id="cb145-35"><a href="dplyr-merge-two-table.html#cb145-35" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-36"><a href="dplyr-merge-two-table.html#cb145-36" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-37"><a href="dplyr-merge-two-table.html#cb145-37" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     2     1</span></span>
<span id="cb145-38"><a href="dplyr-merge-two-table.html#cb145-38" aria-hidden="true" tabindex="-1"></a><span class="fu">setdiff</span>(df2, df1)</span>
<span id="cb145-39"><a href="dplyr-merge-two-table.html#cb145-39" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; # A tibble: 1 x 2</span></span>
<span id="cb145-40"><a href="dplyr-merge-two-table.html#cb145-40" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;       x     y</span></span>
<span id="cb145-41"><a href="dplyr-merge-two-table.html#cb145-41" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;   &lt;int&gt; &lt;int&gt;</span></span>
<span id="cb145-42"><a href="dplyr-merge-two-table.html#cb145-42" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1     2     2</span></span></code></pre></div>
</div>
</div>
<div id="dplyr:merge-multiple-table" class="section level3" number="2.4.2">
<h3><span class="header-section-number">2.4.2</span> 多表操作</h3>
<p>当我们需要将多个表连续关联时:</p>
<ul>
<li>常规写法</li>
</ul>
<div class="sourceCode" id="cb146"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb146-1"><a href="dplyr-merge-two-table.html#cb146-1" aria-hidden="true" tabindex="-1"></a>dt1 <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">x =</span> letters)</span>
<span id="cb146-2"><a href="dplyr-merge-two-table.html#cb146-2" aria-hidden="true" tabindex="-1"></a>dt2 <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">x =</span> letters,<span class="at">cola =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">26</span>)</span>
<span id="cb146-3"><a href="dplyr-merge-two-table.html#cb146-3" aria-hidden="true" tabindex="-1"></a>dt3 <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">x =</span> letters,<span class="at">colb =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">26</span>)</span>
<span id="cb146-4"><a href="dplyr-merge-two-table.html#cb146-4" aria-hidden="true" tabindex="-1"></a>dt4 <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">x =</span> letters,<span class="at">cold =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">26</span>)</span>
<span id="cb146-5"><a href="dplyr-merge-two-table.html#cb146-5" aria-hidden="true" tabindex="-1"></a>dt5 <span class="ot">&lt;-</span> <span class="fu">data.frame</span>(<span class="at">x =</span> letters,<span class="at">cole =</span> <span class="dv">1</span><span class="sc">:</span><span class="dv">26</span>)</span></code></pre></div>
<div class="sourceCode" id="cb147"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb147-1"><a href="dplyr-merge-two-table.html#cb147-1" aria-hidden="true" tabindex="-1"></a>dt1 <span class="sc">%&gt;%</span> </span>
<span id="cb147-2"><a href="dplyr-merge-two-table.html#cb147-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">left_join</span>(dt2) <span class="sc">%&gt;%</span> </span>
<span id="cb147-3"><a href="dplyr-merge-two-table.html#cb147-3" aria-hidden="true" tabindex="-1"></a>  <span class="fu">left_join</span>(dt3) <span class="sc">%&gt;%</span> </span>
<span id="cb147-4"><a href="dplyr-merge-two-table.html#cb147-4" aria-hidden="true" tabindex="-1"></a>  <span class="fu">left_join</span>(dt4) <span class="sc">%&gt;%</span> </span>
<span id="cb147-5"><a href="dplyr-merge-two-table.html#cb147-5" aria-hidden="true" tabindex="-1"></a>  <span class="fu">left_join</span>(dt5)</span>
<span id="cb147-6"><a href="dplyr-merge-two-table.html#cb147-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb147-7"><a href="dplyr-merge-two-table.html#cb147-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb147-8"><a href="dplyr-merge-two-table.html#cb147-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb147-9"><a href="dplyr-merge-two-table.html#cb147-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; Joining, by = &quot;x&quot;</span></span>
<span id="cb147-10"><a href="dplyr-merge-two-table.html#cb147-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    x cola colb cold cole</span></span>
<span id="cb147-11"><a href="dplyr-merge-two-table.html#cb147-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1  a    1    1    1    1</span></span>
<span id="cb147-12"><a href="dplyr-merge-two-table.html#cb147-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2  b    2    2    2    2</span></span>
<span id="cb147-13"><a href="dplyr-merge-two-table.html#cb147-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3  c    3    3    3    3</span></span>
<span id="cb147-14"><a href="dplyr-merge-two-table.html#cb147-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4  d    4    4    4    4</span></span>
<span id="cb147-15"><a href="dplyr-merge-two-table.html#cb147-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5  e    5    5    5    5</span></span>
<span id="cb147-16"><a href="dplyr-merge-two-table.html#cb147-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6  f    6    6    6    6</span></span>
<span id="cb147-17"><a href="dplyr-merge-two-table.html#cb147-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 7  g    7    7    7    7</span></span>
<span id="cb147-18"><a href="dplyr-merge-two-table.html#cb147-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 8  h    8    8    8    8</span></span>
<span id="cb147-19"><a href="dplyr-merge-two-table.html#cb147-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 9  i    9    9    9    9</span></span>
<span id="cb147-20"><a href="dplyr-merge-two-table.html#cb147-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 10 j   10   10   10   10</span></span>
<span id="cb147-21"><a href="dplyr-merge-two-table.html#cb147-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 11 k   11   11   11   11</span></span>
<span id="cb147-22"><a href="dplyr-merge-two-table.html#cb147-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 12 l   12   12   12   12</span></span>
<span id="cb147-23"><a href="dplyr-merge-two-table.html#cb147-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 13 m   13   13   13   13</span></span>
<span id="cb147-24"><a href="dplyr-merge-two-table.html#cb147-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 14 n   14   14   14   14</span></span>
<span id="cb147-25"><a href="dplyr-merge-two-table.html#cb147-25" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 15 o   15   15   15   15</span></span>
<span id="cb147-26"><a href="dplyr-merge-two-table.html#cb147-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 16 p   16   16   16   16</span></span>
<span id="cb147-27"><a href="dplyr-merge-two-table.html#cb147-27" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 17 q   17   17   17   17</span></span>
<span id="cb147-28"><a href="dplyr-merge-two-table.html#cb147-28" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 18 r   18   18   18   18</span></span>
<span id="cb147-29"><a href="dplyr-merge-two-table.html#cb147-29" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 19 s   19   19   19   19</span></span>
<span id="cb147-30"><a href="dplyr-merge-two-table.html#cb147-30" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 20 t   20   20   20   20</span></span>
<span id="cb147-31"><a href="dplyr-merge-two-table.html#cb147-31" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 21 u   21   21   21   21</span></span>
<span id="cb147-32"><a href="dplyr-merge-two-table.html#cb147-32" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 22 v   22   22   22   22</span></span>
<span id="cb147-33"><a href="dplyr-merge-two-table.html#cb147-33" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 23 w   23   23   23   23</span></span>
<span id="cb147-34"><a href="dplyr-merge-two-table.html#cb147-34" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 24 x   24   24   24   24</span></span>
<span id="cb147-35"><a href="dplyr-merge-two-table.html#cb147-35" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 25 y   25   25   25   25</span></span>
<span id="cb147-36"><a href="dplyr-merge-two-table.html#cb147-36" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 26 z   26   26   26   26</span></span></code></pre></div>
<ul>
<li>改进写法</li>
</ul>
<p>当需要合并多个表时，可用<code>purrr::reduce()</code>实现</p>
<div class="sourceCode" id="cb148"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb148-1"><a href="dplyr-merge-two-table.html#cb148-1" aria-hidden="true" tabindex="-1"></a>dtlist <span class="ot">&lt;-</span> <span class="fu">list</span>(dt1,dt2,dt3,dt4,dt5)</span>
<span id="cb148-2"><a href="dplyr-merge-two-table.html#cb148-2" aria-hidden="true" tabindex="-1"></a>purrr<span class="sc">::</span><span class="fu">reduce</span>(dtlist,left_join,<span class="at">by=</span><span class="st">&#39;x&#39;</span>)</span>
<span id="cb148-3"><a href="dplyr-merge-two-table.html#cb148-3" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt;    x cola colb cold cole</span></span>
<span id="cb148-4"><a href="dplyr-merge-two-table.html#cb148-4" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 1  a    1    1    1    1</span></span>
<span id="cb148-5"><a href="dplyr-merge-two-table.html#cb148-5" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 2  b    2    2    2    2</span></span>
<span id="cb148-6"><a href="dplyr-merge-two-table.html#cb148-6" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 3  c    3    3    3    3</span></span>
<span id="cb148-7"><a href="dplyr-merge-two-table.html#cb148-7" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 4  d    4    4    4    4</span></span>
<span id="cb148-8"><a href="dplyr-merge-two-table.html#cb148-8" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 5  e    5    5    5    5</span></span>
<span id="cb148-9"><a href="dplyr-merge-two-table.html#cb148-9" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 6  f    6    6    6    6</span></span>
<span id="cb148-10"><a href="dplyr-merge-two-table.html#cb148-10" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 7  g    7    7    7    7</span></span>
<span id="cb148-11"><a href="dplyr-merge-two-table.html#cb148-11" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 8  h    8    8    8    8</span></span>
<span id="cb148-12"><a href="dplyr-merge-two-table.html#cb148-12" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 9  i    9    9    9    9</span></span>
<span id="cb148-13"><a href="dplyr-merge-two-table.html#cb148-13" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 10 j   10   10   10   10</span></span>
<span id="cb148-14"><a href="dplyr-merge-two-table.html#cb148-14" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 11 k   11   11   11   11</span></span>
<span id="cb148-15"><a href="dplyr-merge-two-table.html#cb148-15" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 12 l   12   12   12   12</span></span>
<span id="cb148-16"><a href="dplyr-merge-two-table.html#cb148-16" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 13 m   13   13   13   13</span></span>
<span id="cb148-17"><a href="dplyr-merge-two-table.html#cb148-17" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 14 n   14   14   14   14</span></span>
<span id="cb148-18"><a href="dplyr-merge-two-table.html#cb148-18" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 15 o   15   15   15   15</span></span>
<span id="cb148-19"><a href="dplyr-merge-two-table.html#cb148-19" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 16 p   16   16   16   16</span></span>
<span id="cb148-20"><a href="dplyr-merge-two-table.html#cb148-20" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 17 q   17   17   17   17</span></span>
<span id="cb148-21"><a href="dplyr-merge-two-table.html#cb148-21" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 18 r   18   18   18   18</span></span>
<span id="cb148-22"><a href="dplyr-merge-two-table.html#cb148-22" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 19 s   19   19   19   19</span></span>
<span id="cb148-23"><a href="dplyr-merge-two-table.html#cb148-23" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 20 t   20   20   20   20</span></span>
<span id="cb148-24"><a href="dplyr-merge-two-table.html#cb148-24" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 21 u   21   21   21   21</span></span>
<span id="cb148-25"><a href="dplyr-merge-two-table.html#cb148-25" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 22 v   22   22   22   22</span></span>
<span id="cb148-26"><a href="dplyr-merge-two-table.html#cb148-26" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 23 w   23   23   23   23</span></span>
<span id="cb148-27"><a href="dplyr-merge-two-table.html#cb148-27" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 24 x   24   24   24   24</span></span>
<span id="cb148-28"><a href="dplyr-merge-two-table.html#cb148-28" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 25 y   25   25   25   25</span></span>
<span id="cb148-29"><a href="dplyr-merge-two-table.html#cb148-29" aria-hidden="true" tabindex="-1"></a><span class="co">#&gt; 26 z   26   26   26   26</span></span></code></pre></div>
</div>
</div>
<div class="footnotes">
<hr />
<ol start="5">
<li id="fn5"><p>笛卡尔乘积是指在数学中，两个集合X和Y的笛卡尔积(Cartesian product)，又称直积，表示为X × Y，第一个对象是X的成员而第二个对象是Y的所有可能有序对的其中一个成员<a href="dplyr-merge-two-table.html#fnref5" class="footnote-back">↩︎</a></p></li>
</ol>
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